General and Autos & Vehicles ranking performance
General
Global
United Kingdom
Autos & Vehicles
Global
United Kingdom
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
The Virtuoso Collection by Mulliner
229.9K
Views
405
Likes
7
Comments
Opportunity for growth
Bentley DNA: Potent Sound Character
362
Views
56
Likes
22
Comments
Analysis of 11 long-form videos
The Virtuoso Collection by Mulliner
• Long videos make up 22% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
Content distribution across 7 main categories
Key performance indicators and trends
Vehicle dominates with 45% of content
Technology has highest avg views
Film shows strongest growth
Most used tags across 262 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #bentleyTop 1 | 46 | 7.2K | 2.44% | -41% | 24/100 |
| #luxury carTop 2 | 39 | 8.1K | 2.15% | -48% | 22/100 |
| #flying spurTop 3 | 39 | 8.1K | 2.15% | -48% | 22/100 |
| #performance car | 39 | 8.1K | 2.15% | -48% | 22/100 |
| #auto | 20 | 13.7K | 1.53% | -75% | 15/100 |
| #automotive | 16 | 16.7K | 1.30% | -80% | 13/100 |
| #travis pastrana | 10 | 3.4K | 6.67% | +4% | 67/100 |
| #bentley motors | 9 | 2.1K | 8.65% | +0% | 87/100 |
| #fat ice race | 9 | 907 | 9.48% | +0% | 95/100 |
| #fat | 8 | 842 | 9.50% | +0% | 95/100 |
| #pastrana | 6 | 4.6K | 6.18% | -27% | 62/100 |
| #supersports | 6 | 1.3K | 8.22% | +0% | 82/100 |
| #bentley supersports | 5 | 4.3K | 6.55% | +0% | 66/100 |
| #travis | 5 | 4.8K | 6.73% | +0% | 67/100 |
| #fat international | 5 | 961 | 8.43% | +0% | 84/100 |
Strategic recommendations and performance highlights
Top 5 by view count





Top 5 by like count





Top 5 by comment count





Top 5 by engagement rate





Peak performance metrics across all categories
Top performers across multiple categories



Performance analysis and recommendations